Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...

The study "Seasonal forecasting of European heat waves using a feature selection framework," published in Communications Earth & Environment, demonstrates how machine learning (ML) and artificial ...

Researchers from China University of Petroleum (East China), in collaboration with international partners, have reported a comprehensive review of ...

Accurately predicting complex agronomic traits remains a major bottleneck in crop breeding. This study demonstrates how ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

According to the authors, incorporating a broad spectrum of biomarkers allows the models to reflect the continuous and ...

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...